Exploring segregation and mobilities: Application of an activity tracking app on mobile phone

Yip, Ngai Ming; Forrest, Ray; Xian, Shi

doi:10.1016/j.cities.2016.02.003

Cited by 44 publications

(28 citation statements)

References 35 publications

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“…Despite this, modeling routes with GIS has been recommended as an acceptable method for trajectories prediction/estimation, particularly for active commuting [ 94 ]. Future studies should combine GPS and GIS tools to record the participant’s trajectories in the program, which would enhance the accuracy of Ciclovías participant’s trajectories [ 95 , 96 , 97 ]. Third, SES proxies and geographical units employed were different across study sites, which we expect added some error to analyses and reduced observed associations.…”

Section: Discussionmentioning

confidence: 99%

Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America

Mejia-Arbelaez

Sarmiento

Vega

et al. 2021

IJERPH

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Ciclovía Recreativa is a program in which streets are closed off to automobiles so that people have a safe and inclusive space for recreation and for being physically active. The study aims were: (1) to compare participant’s spatial trajectories in four Ciclovía Recreativa programs in Latin America (Bogotá, Mexico City, Santiago de Cali, and Santiago de Chile) according to socioeconomic characteristics and urban segregation of these cities; and (2) to assess the relationship between participants’ physical activity (PA) levels and sociodemographic characteristics. We harmonized data of cross-sectional studies including 3282 adults collected between 2015 and 2019. We found the highest mobility for recreation in Bogotá, followed closely by Santiago de Cali. In these two cities, the maximum SES (socioeconomic status) percentile differences between the neighborhood of origin and the neighborhoods visited as part of the Ciclovía use were 33.58 (p-value < 0.001) and 30.38 (p-value < 0.001), respectively, indicating that in these two cities, participants were more likely to visit higher or lower SES neighborhoods than their average SES-of-neighborhood origin. By contrast, participants from Mexico City and Santiago de Chile were more likely to stay in geographic units similar to their average SES-of-origin, having lower overall mobility during leisure time: maximum SES percentile difference 1.55 (p-value < 0.001) and −0.91 (p-value 0.001), respectively. PA levels of participants did not differ by sex or SES. Our results suggest that Ciclovía can be a socially inclusive program in highly unequal and segregated urban environments, which provides a space for PA whilefacilitat physical proximity, exposure to new communities and environments, and interactions between different socioeconomic groups.

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Section: Discussionmentioning

confidence: 99%

Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America

Mejia-Arbelaez

Sarmiento

Vega

et al. 2021

IJERPH

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“…; Yip et al . ; Ferrer and Ruiz ). Compared with GPS loggers, smartphones impose minimal burdens for users, being frequently used in their everyday life.…”

Section: Methodsmentioning

confidence: 98%

Suburban commuting and activity spaces: using smartphone tracking data to understand the spatial extent of travel behaviour

Vich

Marquet

Miralles‐Guasch

2017

Geographical Journal

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This study explores the spatial extent of daily mobility by analysing the activity spaces of suburban commuters. It deepens knowledge of the transport‐related consequences of functionally segregated areas within metropolitan regions, detecting the most significant factors (personal and environmental) affecting the size of activity spaces of people with a suburban commute. Additionally, a comparison between new and traditional calculation methods of activity spaces has been carried out. To enable this, an app was developed for smartphones enabled with a global positioning system (GPS) in order to obtain accurate tracking data for 233 members of the Autonomous University of Barcelona in the Metropolitan Region of Barcelona, Spain. Results show that spatio‐temporal factors together with socioeconomic factors, such as the professional role, are strong determinants of the size of activity spaces. Moreover, differences between public and private transport modes of commuting were minimal, proving the potential of public transport as a non‐restricting means of transport even in suburban environments. Finally, the comparative analysis between calculation methods highlight that new methods produce more realistic representations of the spatial extent of everyday life, and different sets of explanatory factors emerge for activity spaces measured in different ways.

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“…These, together with the increasing availability of data sources resulting from human activities [15,16], have led to an increasing number of studies on modern forms of segregation in spaces beyond residential neighborhoods. Most notably, recent works have shown that there exists clear separation between different ethnic or income groups in everyday activities such as visitation of urban areas [17][18][19][20][21][22][23] or consumption of online information [24][25][26][27][28][29], leading to the so-called "echo chambers" or "filter bubbles" [30].…”

Section: Introductionmentioning

confidence: 99%

Segregated interactions in urban and online space

et al. 2020

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Urban income segregation is a widespread phenomenon that challenges societies across the globe. Classical studies on segregation have largely focused on the geographic distribution of residential neighborhoods rather than on patterns of social behaviors and interactions. In this study, we analyze segregation in economic and social interactions by observing credit card transactions and Twitter mentions among thousands of individuals in three culturally different metropolitan areas. We show that segregated interaction is amplified relative to the expected effects of geographic segregation in terms of both purchase activity and online communication. Furthermore, we find that segregation increases with difference in socioeconomic status but is asymmetric for purchase activity, i.e., the amount of interaction from poorer to wealthier neighborhoods is larger than vice versa. Our results provide novel insights into the understanding of behavioral segregation in human interactions with significant socio-political and economic implications.

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Exploring segregation and mobilities: Application of an activity tracking app on mobile phone

Cited by 44 publications

References 35 publications

Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America

Social Inclusion and Physical Activity in Ciclovía Recreativa Programs in Latin America

Suburban commuting and activity spaces: using smartphone tracking data to understand the spatial extent of travel behaviour

Segregated interactions in urban and online space

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